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The impact of intrinsic muscle properties on simulated reaching performance
Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153064/ https://www.ncbi.nlm.nih.gov/pubmed/35770821 http://dx.doi.org/10.1080/10255842.2022.2089022 |
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author | Murtola, Tiina Richards, Christopher |
author_facet | Murtola, Tiina Richards, Christopher |
author_sort | Murtola, Tiina |
collection | PubMed |
description | Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simulations suggest that more realistic, higher-order activation dynamics requires longer prediction from a forward model and gives rise to a higher level of unplanned co-contraction than simple activation models. Consistent with prior work, muscle force-length-velocity properties stabilised and smoothed limb movements and furthermore helped promote accurate reaching performance with the high-order activation model. |
format | Online Article Text |
id | pubmed-10153064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-101530642023-05-03 The impact of intrinsic muscle properties on simulated reaching performance Murtola, Tiina Richards, Christopher Comput Methods Biomech Biomed Engin Articles Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simulations suggest that more realistic, higher-order activation dynamics requires longer prediction from a forward model and gives rise to a higher level of unplanned co-contraction than simple activation models. Consistent with prior work, muscle force-length-velocity properties stabilised and smoothed limb movements and furthermore helped promote accurate reaching performance with the high-order activation model. Taylor & Francis 2022-06-30 /pmc/articles/PMC10153064/ /pubmed/35770821 http://dx.doi.org/10.1080/10255842.2022.2089022 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Murtola, Tiina Richards, Christopher The impact of intrinsic muscle properties on simulated reaching performance |
title | The impact of intrinsic muscle properties on simulated reaching performance |
title_full | The impact of intrinsic muscle properties on simulated reaching performance |
title_fullStr | The impact of intrinsic muscle properties on simulated reaching performance |
title_full_unstemmed | The impact of intrinsic muscle properties on simulated reaching performance |
title_short | The impact of intrinsic muscle properties on simulated reaching performance |
title_sort | impact of intrinsic muscle properties on simulated reaching performance |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153064/ https://www.ncbi.nlm.nih.gov/pubmed/35770821 http://dx.doi.org/10.1080/10255842.2022.2089022 |
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